feeldb

Master Cheng

2019 · 114 min · Director: Mika Kaurismäki ★ IMDb 6.9 · 3,585 ratings

Show plot summary (may contain spoilers)

Following the death of his wife, professional chef CHENG travels with his young son to a remote village in Finland to connect with an old Finnish friend he once met in Shanghai. Upon arrival, nobody in the village seems to know his friend but local café owner Sirkka offers him accommodation and in return Cheng helps her in the kitchen surprising the locals with the delights of Chinese cuisine. Gradually his cooking encourages these vastly different cultures to connect and Cheng is soon a celebrated member of the community. Unfortunately his tourist visa is soon to run out and it's up to the villagers to come up with a plan to help him stay.

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Emotional fingerprint

Master Cheng (2019) — Movie. Top emotional signals: Joy 30%, Empathy 25%, Love 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

30%Joy
20%Love
  1. Joy30%
  2. Love20%
  3. Humor15%
  4. Relief10%

AI estimate · no viewer votes yet

How we measure

AI estimate

Share of emotional signal, not the percentage of people or a probability of enjoyment.

Each viewer contributes one response, split equally across their selected emotions. When available, an automated estimate supplies a prior that is blended with those responses. Counts include distinct viewers, not automated estimates or archived anonymous votes. Fewer than 3 viewers is an early estimate; more responses do not guarantee certainty.

Why it feels this way

The strongest emotional signals are Joy, Empathy, Love. Genres: Comedy, Drama, Romance. AI estimate.

Is it worth watching?

Consider this title if you are looking for Joy, Empathy and Love. Its IMDb rating of 6.9/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 69/100.

How did it make you feel?

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Pick up to three · 0/3

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Emotional journey

AI · from subtitles
  • Love
  • Hope
  • Sadness

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Curiosity

Dominant emotion: Hope

Dominant emotion: Humor

Dominant emotion: Sadness

Dominant emotion: Love

Love
Hope
Sadness
Emotional journey Emotional intensity over the film’s runtime, from quieter to stronger on a fixed 0–1 scale. Hatched intervals have insufficient subtitle evidence. The table provides the values. Not enough subtitle evidence
Ending hidden

Dominant emotion

Intensity dips around 8 %, then rises around 33 %, then peaks around 93 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityLoveHopeSadness
2.5 %≈ 3′Curiosity38 %3 %13 %7 %
7.5 %≈ 9′Curiosity35 %6 %15 %9 %
12.5 %≈ 14′Curiosity36 %9 %21 %8 %
17.5 %≈ 20′Hope43 %14 %34 %3 %
22.5 %≈ 26′Hope45 %20 %39 %0 %
27.5 %≈ 31′Hope48 %21 %39 %3 %
32.5 %≈ 37′Humor57 %26 %34 %24 %
37.5 %≈ 43′Sadness71 %40 %23 %57 %
42.5 %≈ 48′Sadness74 %43 %30 %55 %
47.5 %≈ 54′Hope63 %34 %48 %23 %
52.5 %≈ 60′Hope55 %32 %44 %21 %
57.5 %≈ 66′Sadness61 %39 %34 %49 %
62.5 %≈ 71′Sadness66 %43 %34 %60 %
67.5 %≈ 77′Sadness63 %46 %36 %43 %
72.5 %≈ 83′Love63 %55 %34 %25 %
77.5 %≈ 88′Love68 %59 %35 %36 %
82.5 %≈ 94′Hope71 %60 %46 %55 %
87.5 %≈ 100′Love76 %70 %56 %45 %
92.5 %≈ 105′Love82 %80 %65 %20 %
97.5 %≈ 111′Not enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidence
Man in a hole

Rags to riches: The emotional tone rises from negative to positive.

Riches to rags: The emotional tone falls from positive to negative.

Man in a hole: The tone falls, then recovers.

Icarus: The tone rises, then falls.

Cinderella: The tone rises, falls, then rises again.

Oedipus: The tone falls, rises, then falls again.

AI reading of the film’s English subtitles (dialogue and sound cues) — not viewer votes. How we measure ↗

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Afterward Reveal viewer responses · may contain spoilers

Viewer responses about feelings after the title ended, separate from feelings while watching. No AI estimates.

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Cast

PH
Pak Hon Chu

TC
Tommy Chu Pak-Hong

Cheng

AT
Anna-Maija Tuokko

LH
Lucas Hsuan

KV
Kari Väänänen

Romppainen

VL
Vesa-Matti Loiri

Vilppula

PM
Paula Miettinen

Mervi

HO
Hannu Oravisto

Police officer

JK
Jonne Kaaretkoski

Police officer

HP
Helka Periaho

Opettaja

KK
Kari Koivukangas

Linja-autonkuljettaja

Details

Directed by
Mika Kaurismäki
Written by
Hannu Oravisto
Type
Movies
Released
2019
Runtime
114 min
Country
Finland, China
Ratings
★ IMDb 6.9 · 3,585 ratings
Feels mostly
Joy
Data updated

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Emotion overlap shows mood similarity, not a prediction of enjoyment.